Research
I'm interested in computer vision, deep learning, generative AI, and image processing. Most of my research is about inferring the physical world (shape, motion, color, light, etc) from images, usually with radiance fields. Some papers are highlighted.
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Micropapers
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Squareplus: A Softplus-Like Algebraic Rectifier
A Convenient Generalization of Schlick's Bias and Gain Functions
Continuously Differentiable Exponential Linear Units
Scholars & Big Models: How Can Academics Adapt?
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Recorded Talks
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Radiance Fields and the Future of Generative Media, 2025
View Dependent Podcast, 2024
Bay Area Robotics Symposium, 2023
EGSR Keynote, 2021
TUM AI Lecture Series, 2020
Vision & Graphics Seminar at MIT, 2020
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Academic Service
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Lead Area Chair, ICCV 2025
Lead Area Chair, CVPR 2025
Area Chair, CVPR 2024
Demo Chair, CVPR 2023
Area Chair, CVPR 2022
Area Chair & Award Committee Member, CVPR 2021
Area Chair, CVPR 2019
Area Chair, CVPR 2018
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Teaching
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Graduate Student Instructor, CS188 Spring 2011
Graduate Student Instructor, CS188 Fall 2010
Figures, "Artificial Intelligence: A Modern Approach", 3rd Edition
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